Identifying neonatal intensive care (NICU) admissions using administrative claims data.

BACKGROUND: To define a method for identifying neonatal intensive care unit (NICU) admissions using administrative claims data. METHODS: This was a retrospective cohort study using claims from Optum's de-identified Clinformatics® Data Mart Database (CDM) from 2016 -2020. We developed a definition to identify NICU admissions using a list of codes from the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), Current Procedural Terminology (CPT), and revenue codes frequently associated with NICU admissions. We compared agreement between codes using Kappa statistics and calculated positive predictive values (PPV) and 95% confidence intervals (CI). RESULTS: On average, revenue codes (3.3%) alone identified more NICU hospitalizations compared to CPT codes alone (1.5%), whereas the use of CPT and revenue (8.9%) and CPT or revenue codes (13.7%) captured the most NICU hospitalizations, which aligns with rates of preterm birth. Gestational age alone (4.2%) and birthweight codes alone (2.0%) identified the least number of potential NICU hospitalizations. Setting CPT codes as the standard and revenue codes as the "test,", revenue codes resulted in identifying 86% of NICU admissions (sensitivity) and 97% of non-NICU admissions (specificity). CONCLUSIONS: Using administrative data, we developed a robust definition for identifying neonatal admissions. The identified definition of NICU codes is easily adaptable, repeatable, and flexible for use in other datasets.

Trends in antenatal depression and suicidal ideation diagnoses among commercially insured childbearing individuals in the United States, 2008-2018.

INTRODUCTION: Antenatal depression and suicidal ideation represent serious pregnancy-related complications, yet comprehensive estimates of the prevalence and predictors of these diagnoses among birthing people remain unclear. OBJECTIVE: This study aimed to characterize trends in the prevalence of depression and suicidal ideation diagnoses identified among pregnant individuals prior to giving birth. METHODS: This study included 536,647 individuals aged 15-44 years continuously enrolled in a single commercial health insurance plan for one year before childbirth from 2008 to 2018. The primary outcomes included depression or suicidal ideation based on identification of the relevant ICD-9 and ICD-10 diagnosis codes during pregnancy. RESULTS: Rates (95 % CIs) of depression increased by 39 % from 540 (520-560) per 10,000 individuals in 2008 to 750 (730-770) per 10,000 individuals in 2018. Suicidal ideation increased by 100 % from 15 (12-18) per 10,000 individuals in 2008 to 44 (39-50) per 10,000 individuals in 2018. Black birthing people experiencing the sharpest proportional increases. CONCLUSIONS: The prevalence of depression and suicidal ideation occurring during pregnancy substantially increased over a ten-year period. Further, suicidal ideation diagnosis increased the most for among Black birthing people compared to all groups, resulting in a need for future studies in this area to determine the reasons for an increase in diagnosis and any change in resulting treatment of follow up.

Association of Subjective Social Status With Life's Simple 7s Cardiovascular Health Index Among Hispanic/Latino People: Results From the HCHS/SOL.

Background Evidence suggests that subjective (perceived) social status (SSS) may predict health outcomes more strongly than objective social status, but little is known about the relationship between SSS and cardiovascular health (CVH). This study focuses on this relationship among diverse Hispanic/Latino adults because while poor CVH profiles are prevalent in this population, immigration complicates attempts to measure their social status. Methods and Results We analyzed baseline HCHS/SOL (Hispanic Community Health Study/Study of Latinos) data on 15 374 Hispanic/Latino adults aged 18 to 74 years in 2008 to 2011. SSS was assessed using the McArthur Scale, a 10-rung "social ladder." CVH was based on levels of 7 metrics defined by the American Heart Association. Linear and logistic regressions were used to examine cross-sectional associations of SSS with CVH (overall and single metrics) after adjusting for objective social status, demographic, and health factors. Less than half of the population (46%) had Ideal scores in ≥4 metrics of CVH. In multivariable-adjusted models, an increase in SSS was associated with a higher overall CVH score (ß=0.04; 95% CI, 0.01-0.06) and greater likelihood of Ideal levels of body mass index, physical activity, and fasting blood glucose levels. Nativity and time in the United States modified the association between SSS and Ideal smoking. Conclusions Subjective measures of social status can enhance an understanding of CVH among Hispanic/Latino people. Future studies should explore the stability of SSS over time in comparison with objective social status and the mechanisms through which SSS may influence CVH.